Elevate your career as a Senior Data Engineer focused on Databricks and AWS settings. You'll design creative data pipelines that directly impact business intelligence and ML workflows.

As a key player in an ongoing transformation initiative, you'll collaborate with cross-functional teams to modernize data architecture. This role involves designing and enhancing scalable data solutions to ensure quality and performance, critical for enterprise analytics and reporting platforms.

Key Responsibilities:
Design and maintain data pipelines using Spark and Python
Enhance AWS data stack for optimal performance
Contribute to a major Databricks transformation project
Partner with analytics teams for enterprise reporting support
Integrate machine learning workflows into data solutions

Requirements:
5+ years in Data Engineering or relevant experience
Solid experience with Python and Spark
Proven AWS skills in a data environment
Direct experience with Databricks and pipeline construction
Solid understanding of ETL processes and data quality

Lead impactful data initiatives that shape data-driven decision-making across the organization.
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📌 Senior Data Engineer For Aws & Bi Initiatives Vaughan
🏢 Insight Global
📍 Vaughan